Starting with runpod-python 0.10.0, you can launch a local API server for testing your worker handler using --rp_serve_api. This feature improves the development workflow by letting you simulate interactive API requests before deploying to serverless.

Use the VS Code Server template on Runpod to connect your local VS Code editor to a GPU-powered development pod, offering a seamless remote dev experience with full VS Code functionality.

Unlock seamless coding with the VS Code Server template on RunPod. Learn how to connect, code, and iterate remotely with local-like speed and responsiveness.

Learn how to use Runpod's new Savings Plans to save up to 20% on Secure Cloud pods with monthly or quarterly commitments—ideal for users with high GPU workloads.

Learn how to deploy Python machine learning models on Runpod without touching Docker. This guide walks you through using virtual environments, network volumes, and Runpod’s serverless API system to serve custom models like Bark TTS in minutes.

Runpod is now an official sponsor of StockDory, a rapidly evolving open-source chess engine that improves faster than Stockfish. StockDory offers deep positional insight, lightning-fast calculations, and full customization—making it ideal for anyone looking to explore AI-driven chess analysis.

Runpod’s new FlashBoot technology slashes cold-start times for serverless GPU endpoints, delivering speeds as low as 500ms. Available now at no extra cost, FlashBoot dynamically optimizes deployment for high-volume workloads—cutting costs and improving latency dramatically.